Neuron is a composable agent framework inspired by cognitive neuroscience. It enables you to build, orchestrate, and monitor intelligent multi-agent systems using a modular circuit-based architecture.

🧠⚡ Revolutionary distributed AI agent orchestration system that transforms GPT-5-Codex into collective intelligence networks. Features neural mesh networking, swarm intelligence algorithms (PSO/ACO/Flocking), Byzantine fault-tolerant consensus, and GPU-accelerated computations. Enables autonomous agent collaboration.

Enterprise-grade distributed AI agent framework | Develop → Deploy → Observe | K8s-native | Dynamic DI | Auto-failover | Multi-LLM | Python + TypeScript

IntentusNet - Deterministic intent routing runtime for agent execution, with explicit fallback, transport abstraction, and clear operational boundaries.

Project Agora: MVP of the Concordia framework. An ethical, symbiotic AI designed to foster and protect human flourishing.

Conceptual proposal for a distributed AI personality system where each device hosts a unique avatar and shares semantic memory. Inspired by the vision of a collaborative, growing AI companion.

AI Multi Agent Swarms in Elixir

Vô Tranh Grok 3 Omniverse Edition V17 – Boundless Thought

Privacy-preserving distributed machine learning framework that trains models across devices without sharing raw data - enterprise-grade federated AI.

This repository provides a comprehensive solution and codebase for the migration from centralized to federated learning. It demonstrates centralized training, its drawbacks, and how federated learning addresses these issues. It also serves as a tutorial to guide users through the transition process.

Distributed AI assistant for infrastructure engineers. Routes LLMs via SOLLOL across Ollama clusters. Vision, voice, browser automation. Zero cloud dependencies.

A research-grade Python implementation of decentralized multi-agent coordination using auction-based task allocation, designed for autonomous robotics and AI studies.

Carbon-Silicon Symbiotic Civilization: 碳基-硅基-共生文明的理论框架与行动纲领。

Distributed AI infrastructure for Kage Bunshin - load balancer, cluster management, and node orchestration

Open working notes on distributed, modular AI architectures – exploring how many small, specialized models on existing hardware could complement (rather than replace) large LLMs for more sustainable, real‑world systems.

Energy-aware AI inference framework that runs on user-side CPU/GPU to reduce cloud usage and power waste

Novel blockchain consensus mechanism replacing energy-intensive mining with productive federated learning. Miners collaborate to train AI models, with winners selected through democratic voting.

🥷 Streamline AI development by orchestrating multiple CLI tools in parallel, merging results with git-based conflict resolution for faster, reliable outcomes.

Coordinated multi-agent systems that learn to solve complex collaborative and competitive tasks.